{"id":"W4239113265","doi":"10.32920/ryerson.14645133","title":"Affordable Housing In Toronto: Legislative And Regulatory Tools For Municipal LED Development","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affordable housing; Legislature; Retrenchment; Government (linguistics); Public housing; Business; Public administration; Economic growth; Political science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004900892,0.0002387827,0.0001663651,0.001833391,0.004357367,0.005222922,0.001175381,0.0008611849,0.005784718],"category_scores_gemma":[0.009695131,0.0003575783,0.0002792727,0.003467466,0.003730793,0.001443734,0.002132547,0.001117374,0.0003953449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09262175,"about_ca_system_score_gemma":0.0936474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8728496,"about_ca_topic_score_gemma":0.9535807,"domain_scores_codex":[0.9939247,0.001596305,0.0002412034,0.0002662082,0.002789322,0.001182193],"domain_scores_gemma":[0.9902951,0.003239241,0.001127175,0.0006473322,0.00349054,0.001200673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007946132,0.00007575892,0.04299311,0.001057109,0.00004591672,0.000955704,0.02688799,0.008588581,0.002195908,0.7144366,0.08420154,0.1184823],"study_design_scores_gemma":[0.00002512955,0.00006155587,0.1163394,0.0007224125,0.00003707607,0.000146128,0.0131856,0.003149671,0.001166779,0.01038363,0.8546855,0.00009717021],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2689968,0.01833778,0.03304356,0.07847526,0.0006413588,0.001015777,0.004476008,0.0006118675,0.5944016],"genre_scores_gemma":[0.9236314,0.005828479,0.01188726,0.00193049,0.0001534144,0.0003715396,0.001162523,0.000086989,0.05494795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1271504,"threshold_uncertainty_score":0.672021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0559751755226728,"score_gpt":0.2630181657849174,"score_spread":0.2070429902622446,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}